Showing 1 open source project for "log4j source code"

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    Developed and headquartered in Europe (Barcelona, Spain), Passwork meets GDPR, NIS2, ENS and other European regulatory requirements by design.

    On-premise solution with double encryption and certified development processes for maximum protection of corporate data. Zero‑knowledge architecture ensures your passwords never leave your infrastructure.
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  • Powerful Website Security | Continuous Web Threat Platform Icon
    Powerful Website Security | Continuous Web Threat Platform

    Continuously detect, prioritize, and validate web threats to quickly mitigate security, privacy, and compliance risks.

    Reflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.
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    Reproducible-research

    Reproducible-research

    A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.

    In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility. The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible.
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